Experience with a learning personal assistant
Communications of the ACM
Context-based representation of intelligent behavior in training simulations
Transactions of the Society for Computer Simulation International
Why the elf acted autonomously: towards a theory of adjustable autonomy
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Modeling Context Information in Pervasive Computing Systems
Pervasive '02 Proceedings of the First International Conference on Pervasive Computing
Adding Generic Contextual Capabilities to Wearable Computers
ISWC '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers
An ontology for context-aware pervasive computing environments
The Knowledge Engineering Review
Communications of the ACM - The disappearing computer
Context dynamic and explanation in contextual graphs
CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
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Developing context-aware applications needs facilities for recognizing and representing context, reasoning on it and adapting to it accordingly. In what concerns context representation, the newest and most challenging representation is the ontological one. The problem is that current ontologies for context are quite simplistic and do not provide a standard for representing complex context attributes. In this paper, we propose a context definition and representation used to construct a context-based agent architecture. The representation we propose combines the generality provided by ontologies with the complexity inspired by the object oriented models. The goal of the proposed representation is to support the deployment of context-aware agents able to learn how to recognize and adapt to the context of their decisions.